Foundry dips their toe

Here’s a recent announcement from Foundry:

Deep learning: the new frontier in visual effects production

Artificial intelligence (AI) and deep learning technologies are disrupting our world in unprecedented ways. From transport and infrastructure, to marketing and fintech; self-learning machines are increasingly being deployed to challenge the status quo.

Deep learning enables systems to learn and predict outcomes without explicit programming. Instead of writing algorithms and rules that make decisions directly, machine learning teaches computer systems to make decisions from large datasets. It creates models that represent and generalise patterns in the data you use to train it, and uses those models to interpret and analyse new information.

Examples of this technology include chatbots, spam filters, self-driving cars and a range of other systems. It is gradually encroaching on all areas of our daily lives – the home, the daily commute, the workplace –  changing how we perform daily tasks.

Deep learning in visual effects

At Foundry, we employ engineers and algorithmic developers, whose task it is to research and develop ground-breaking technologies for the creative industries. We have strategic partnerships with UK and European research institutes and universities, which cements our work in academia and helps us to push the boundaries of what’s achievable in visual effects and beyond. It is also a fantastic way of inspiring students to pursue careers in cutting-edge visual effects, dealing with real-world problems that have the potential to enter post production in the near future.

We’d like to highlight two of the internships we’re running this year, exploring the impact of AI on video editing and image processing, understanding and manipulation. We believe AI and deep learning could have a massive impact on visual effects – as it is already doing so in other industries –  and these research projects are allowing us to dip our toes into the water of this exciting field.

Read the full announcement here:

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